ArticleTropical animal health and production2017
Detection of QTL for greasy fleece weight in sheep using a 50 K single nucleotide polymorphism chip.
Article in Tropical animal health and production, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 19 citations in OpenAlex.
- Genetic association of wool quality characteristics in United States Rambouillet sheep.Frontiers in genetics · 2022Article
- Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep.Genetics, selection, evolution : GSE · 2021Article
- Genome-Wide Association Study of Body Weights in Hu Sheep and Population Verification of Related Single-Nucleotide Polymorphisms.Frontiers in genetics · 2020Article
- A Combined Multi-Cohort Approach Reveals Novel and Known Genome-Wide Selection Signatures for Wool Traits in Merino and Merino-Derived Sheep Breeds.Frontiers in genetics · 2019Article
- A comparison of transcriptomic patterns measured in the skin of Chinese fine and coarse wool sheep breeds.Scientific reports · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Genome-wide association studies (GWAS) have introduced an influential tool in the search for quantitative trait loci (QTL) influencing economically important traits in sheep. To identify QTL associated with greasy fleece weight, a GWAS with 50 K single nucleotide polymorphisms (SNPs) was performed in a Baluchi sheep population. Association with greasy fleece weights was tested using the software Plink. The results of our GWAS provided three novel SNP markers and candidate genes associated with greasy fleece weight. A total of three chromosome-wide significant associations were detected for SNP on chromosomes 17 and 20 affecting greasy fleece weight across the four shearing. One of the significant SNP markers was located within ovine known genes namely FAM101A. Further investigation of these identified regions in validation studies will facilitate the identification of strong candidate genes for wool production in sheep.
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